Overview

Dataset statistics

Number of variables21
Number of observations60000
Missing cells0
Missing cells (%)0.0%
Duplicate rows44
Duplicate rows (%)0.1%
Total size in memory9.6 MiB
Average record size in memory168.0 B

Variable types

Numeric21

Alerts

Dataset has 44 (0.1%) duplicate rowsDuplicates
label is highly overall correlated with pixel180 and 3 other fieldsHigh correlation
pixel547 is highly overall correlated with pixel603 and 7 other fieldsHigh correlation
pixel603 is highly overall correlated with pixel547 and 7 other fieldsHigh correlation
pixel491 is highly overall correlated with pixel547 and 6 other fieldsHigh correlation
pixel575 is highly overall correlated with pixel547 and 7 other fieldsHigh correlation
pixel263 is highly overall correlated with pixel180 and 4 other fieldsHigh correlation
pixel407 is highly overall correlated with pixel547 and 6 other fieldsHigh correlation
pixel435 is highly overall correlated with pixel547 and 6 other fieldsHigh correlation
pixel687 is highly overall correlated with pixel547 and 4 other fieldsHigh correlation
pixel519 is highly overall correlated with pixel547 and 6 other fieldsHigh correlation
pixel631 is highly overall correlated with pixel547 and 7 other fieldsHigh correlation
pixel401 is highly overall correlated with pixel427High correlation
pixel180 is highly overall correlated with label and 5 other fieldsHigh correlation
pixel234 is highly overall correlated with pixel263 and 4 other fieldsHigh correlation
pixel236 is highly overall correlated with label and 5 other fieldsHigh correlation
pixel68 is highly overall correlated with label and 5 other fieldsHigh correlation
pixel611 is highly overall correlated with pixel555 and 1 other fieldsHigh correlation
pixel96 is highly overall correlated with label and 6 other fieldsHigh correlation
pixel555 is highly overall correlated with pixel611 and 2 other fieldsHigh correlation
pixel594 is highly overall correlated with pixel611 and 1 other fieldsHigh correlation
pixel427 is highly overall correlated with pixel401 and 1 other fieldsHigh correlation
label has 6000 (10.0%) zerosZeros
pixel547 has 8105 (13.5%) zerosZeros
pixel603 has 14007 (23.3%) zerosZeros
pixel491 has 6652 (11.1%) zerosZeros
pixel575 has 10668 (17.8%) zerosZeros
pixel263 has 15630 (26.1%) zerosZeros
pixel407 has 7190 (12.0%) zerosZeros
pixel435 has 7332 (12.2%) zerosZeros
pixel687 has 23243 (38.7%) zerosZeros
pixel519 has 7313 (12.2%) zerosZeros
pixel631 has 16699 (27.8%) zerosZeros
pixel401 has 16459 (27.4%) zerosZeros
pixel180 has 18309 (30.5%) zerosZeros
pixel234 has 19023 (31.7%) zerosZeros
pixel236 has 15551 (25.9%) zerosZeros
pixel68 has 22407 (37.3%) zerosZeros
pixel611 has 26993 (45.0%) zerosZeros
pixel96 has 21219 (35.4%) zerosZeros
pixel555 has 20487 (34.1%) zerosZeros
pixel594 has 27381 (45.6%) zerosZeros
pixel427 has 23921 (39.9%) zerosZeros

Reproduction

Analysis started2023-11-03 21:30:45.220705
Analysis finished2023-11-03 21:32:31.279886
Duration1 minute and 46.06 seconds
Software versionydata-profiling vv4.6.1
Download configurationconfig.json

Variables

label
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5
Minimum0
Maximum9
Zeros6000
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:31.461486image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4.5
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.8723053
Coefficient of variation (CV)0.63829006
Kurtosis-1.2242444
Mean4.5
Median Absolute Deviation (MAD)2.5
Skewness0
Sum270000
Variance8.2501375
MonotonicityNot monotonic
2023-11-03T21:32:31.764921image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 6000
10.0%
9 6000
10.0%
6 6000
10.0%
0 6000
10.0%
3 6000
10.0%
4 6000
10.0%
5 6000
10.0%
8 6000
10.0%
7 6000
10.0%
1 6000
10.0%
ValueCountFrequency (%)
0 6000
10.0%
1 6000
10.0%
2 6000
10.0%
3 6000
10.0%
4 6000
10.0%
5 6000
10.0%
6 6000
10.0%
7 6000
10.0%
8 6000
10.0%
9 6000
10.0%
ValueCountFrequency (%)
9 6000
10.0%
8 6000
10.0%
7 6000
10.0%
6 6000
10.0%
5 6000
10.0%
4 6000
10.0%
3 6000
10.0%
2 6000
10.0%
1 6000
10.0%
0 6000
10.0%

pixel547
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.36683
Minimum0
Maximum255
Zeros8105
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:32.093976image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165
median160
Q3209
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)144

Descriptive statistics

Standard deviation82.270827
Coefficient of variation (CV)0.60330525
Kurtosis-1.1972755
Mean136.36683
Median Absolute Deviation (MAD)60
Skewness-0.46683546
Sum8182010
Variance6768.4889
MonotonicityNot monotonic
2023-11-03T21:32:32.524720image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8105
 
13.5%
220 498
 
0.8%
228 496
 
0.8%
226 492
 
0.8%
223 484
 
0.8%
217 482
 
0.8%
224 482
 
0.8%
222 480
 
0.8%
225 474
 
0.8%
221 473
 
0.8%
Other values (246) 47534
79.2%
ValueCountFrequency (%)
0 8105
13.5%
1 147
 
0.2%
2 149
 
0.2%
3 101
 
0.2%
4 111
 
0.2%
5 77
 
0.1%
6 88
 
0.1%
7 72
 
0.1%
8 77
 
0.1%
9 72
 
0.1%
ValueCountFrequency (%)
255 339
0.6%
254 70
 
0.1%
253 53
 
0.1%
252 60
 
0.1%
251 59
 
0.1%
250 52
 
0.1%
249 71
 
0.1%
248 79
 
0.1%
247 85
 
0.1%
246 76
 
0.1%

pixel603
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.70238
Minimum0
Maximum255
Zeros14007
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:32.861388image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median148
Q3207
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)192

Descriptive statistics

Standard deviation89.415573
Coefficient of variation (CV)0.71703179
Kurtosis-1.4901034
Mean124.70238
Median Absolute Deviation (MAD)72
Skewness-0.2773968
Sum7482143
Variance7995.1447
MonotonicityNot monotonic
2023-11-03T21:32:33.124795image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14007
 
23.3%
230 504
 
0.8%
219 469
 
0.8%
228 465
 
0.8%
221 462
 
0.8%
222 455
 
0.8%
223 449
 
0.7%
226 449
 
0.7%
224 443
 
0.7%
227 443
 
0.7%
Other values (246) 41854
69.8%
ValueCountFrequency (%)
0 14007
23.3%
1 124
 
0.2%
2 103
 
0.2%
3 104
 
0.2%
4 67
 
0.1%
5 74
 
0.1%
6 67
 
0.1%
7 60
 
0.1%
8 55
 
0.1%
9 48
 
0.1%
ValueCountFrequency (%)
255 382
0.6%
254 89
 
0.1%
253 58
 
0.1%
252 62
 
0.1%
251 66
 
0.1%
250 62
 
0.1%
249 82
 
0.1%
248 82
 
0.1%
247 92
 
0.2%
246 117
 
0.2%

pixel491
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.9228
Minimum0
Maximum255
Zeros6652
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:33.360456image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q184
median167
Q3209
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)125

Descriptive statistics

Standard deviation78.520404
Coefficient of variation (CV)0.54939033
Kurtosis-0.93336299
Mean142.9228
Median Absolute Deviation (MAD)52
Skewness-0.60949619
Sum8575368
Variance6165.4538
MonotonicityNot monotonic
2023-11-03T21:32:33.607183image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6652
 
11.1%
222 521
 
0.9%
221 513
 
0.9%
224 503
 
0.8%
219 493
 
0.8%
227 491
 
0.8%
226 490
 
0.8%
218 489
 
0.8%
225 478
 
0.8%
228 478
 
0.8%
Other values (246) 48892
81.5%
ValueCountFrequency (%)
0 6652
11.1%
1 216
 
0.4%
2 163
 
0.3%
3 130
 
0.2%
4 112
 
0.2%
5 90
 
0.1%
6 68
 
0.1%
7 65
 
0.1%
8 60
 
0.1%
9 50
 
0.1%
ValueCountFrequency (%)
255 381
0.6%
254 72
 
0.1%
253 59
 
0.1%
252 64
 
0.1%
251 55
 
0.1%
250 56
 
0.1%
249 81
 
0.1%
248 59
 
0.1%
247 83
 
0.1%
246 85
 
0.1%

pixel575
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.91408
Minimum0
Maximum255
Zeros10668
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:33.850806image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q147
median155
Q3208
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)161

Descriptive statistics

Standard deviation85.726934
Coefficient of variation (CV)0.65483355
Kurtosis-1.3490096
Mean130.91408
Median Absolute Deviation (MAD)65
Skewness-0.38009657
Sum7854845
Variance7349.1072
MonotonicityNot monotonic
2023-11-03T21:32:34.101922image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10668
 
17.8%
219 513
 
0.9%
221 494
 
0.8%
230 485
 
0.8%
229 474
 
0.8%
231 474
 
0.8%
218 469
 
0.8%
222 468
 
0.8%
220 465
 
0.8%
216 462
 
0.8%
Other values (246) 45028
75.0%
ValueCountFrequency (%)
0 10668
17.8%
1 150
 
0.2%
2 128
 
0.2%
3 78
 
0.1%
4 85
 
0.1%
5 97
 
0.2%
6 78
 
0.1%
7 70
 
0.1%
8 63
 
0.1%
9 54
 
0.1%
ValueCountFrequency (%)
255 318
0.5%
254 74
 
0.1%
253 56
 
0.1%
252 57
 
0.1%
251 70
 
0.1%
250 66
 
0.1%
249 79
 
0.1%
248 69
 
0.1%
247 69
 
0.1%
246 98
 
0.2%

pixel263
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.1618
Minimum0
Maximum255
Zeros15630
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:34.338051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median115
Q3194
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation90.758615
Coefficient of variation (CV)0.84693067
Kurtosis-1.5820072
Mean107.1618
Median Absolute Deviation (MAD)98
Skewness0.031273384
Sum6429708
Variance8237.1262
MonotonicityNot monotonic
2023-11-03T21:32:34.577382image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15630
26.1%
1 1644
 
2.7%
2 870
 
1.5%
255 821
 
1.4%
3 568
 
0.9%
4 348
 
0.6%
215 347
 
0.6%
220 342
 
0.6%
219 338
 
0.6%
221 331
 
0.6%
Other values (246) 38761
64.6%
ValueCountFrequency (%)
0 15630
26.1%
1 1644
 
2.7%
2 870
 
1.5%
3 568
 
0.9%
4 348
 
0.6%
5 261
 
0.4%
6 157
 
0.3%
7 125
 
0.2%
8 79
 
0.1%
9 66
 
0.1%
ValueCountFrequency (%)
255 821
1.4%
254 154
 
0.3%
253 89
 
0.1%
252 83
 
0.1%
251 60
 
0.1%
250 63
 
0.1%
249 72
 
0.1%
248 76
 
0.1%
247 78
 
0.1%
246 84
 
0.1%

pixel407
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.4053
Minimum0
Maximum255
Zeros7190
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:34.811990image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q180
median162
Q3206
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)126

Descriptive statistics

Standard deviation78.704582
Coefficient of variation (CV)0.56457381
Kurtosis-0.98361894
Mean139.4053
Median Absolute Deviation (MAD)54
Skewness-0.57188854
Sum8364318
Variance6194.4112
MonotonicityNot monotonic
2023-11-03T21:32:35.055806image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7190
 
12.0%
227 484
 
0.8%
214 477
 
0.8%
222 469
 
0.8%
223 461
 
0.8%
209 452
 
0.8%
228 452
 
0.8%
216 450
 
0.8%
213 450
 
0.8%
221 446
 
0.7%
Other values (246) 48669
81.1%
ValueCountFrequency (%)
0 7190
12.0%
1 404
 
0.7%
2 225
 
0.4%
3 140
 
0.2%
4 91
 
0.2%
5 70
 
0.1%
6 65
 
0.1%
7 46
 
0.1%
8 54
 
0.1%
9 51
 
0.1%
ValueCountFrequency (%)
255 345
0.6%
254 63
 
0.1%
253 45
 
0.1%
252 39
 
0.1%
251 58
 
0.1%
250 47
 
0.1%
249 43
 
0.1%
248 62
 
0.1%
247 61
 
0.1%
246 82
 
0.1%

pixel435
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.52212
Minimum0
Maximum255
Zeros7332
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:35.305540image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q182
median164
Q3207
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)125

Descriptive statistics

Standard deviation78.874479
Coefficient of variation (CV)0.56129584
Kurtosis-0.9622365
Mean140.52212
Median Absolute Deviation (MAD)53
Skewness-0.59500811
Sum8431327
Variance6221.1835
MonotonicityNot monotonic
2023-11-03T21:32:35.561960image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7332
 
12.2%
225 498
 
0.8%
215 495
 
0.8%
221 485
 
0.8%
218 480
 
0.8%
214 478
 
0.8%
210 460
 
0.8%
227 460
 
0.8%
205 456
 
0.8%
208 454
 
0.8%
Other values (246) 48402
80.7%
ValueCountFrequency (%)
0 7332
12.2%
1 330
 
0.5%
2 200
 
0.3%
3 132
 
0.2%
4 101
 
0.2%
5 82
 
0.1%
6 62
 
0.1%
7 41
 
0.1%
8 39
 
0.1%
9 50
 
0.1%
ValueCountFrequency (%)
255 283
0.5%
254 74
 
0.1%
253 51
 
0.1%
252 53
 
0.1%
251 35
 
0.1%
250 51
 
0.1%
249 45
 
0.1%
248 59
 
0.1%
247 80
 
0.1%
246 96
 
0.2%

pixel687
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.4274
Minimum0
Maximum255
Zeros23243
Zeros (%)38.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:35.819387image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median88
Q3197
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation94.787654
Coefficient of variation (CV)0.96302101
Kurtosis-1.6527934
Mean98.4274
Median Absolute Deviation (MAD)88
Skewness0.19771548
Sum5905644
Variance8984.6993
MonotonicityNot monotonic
2023-11-03T21:32:36.276947image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23243
38.7%
223 401
 
0.7%
227 368
 
0.6%
226 355
 
0.6%
221 350
 
0.6%
222 348
 
0.6%
224 347
 
0.6%
231 346
 
0.6%
218 345
 
0.6%
219 344
 
0.6%
Other values (246) 33553
55.9%
ValueCountFrequency (%)
0 23243
38.7%
1 268
 
0.4%
2 189
 
0.3%
3 165
 
0.3%
4 159
 
0.3%
5 108
 
0.2%
6 77
 
0.1%
7 52
 
0.1%
8 48
 
0.1%
9 55
 
0.1%
ValueCountFrequency (%)
255 332
0.6%
254 82
 
0.1%
253 64
 
0.1%
252 72
 
0.1%
251 58
 
0.1%
250 77
 
0.1%
249 80
 
0.1%
248 71
 
0.1%
247 90
 
0.1%
246 103
 
0.2%

pixel519
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.62403
Minimum0
Maximum255
Zeros7313
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:36.683208image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175
median163
Q3209
95-th percentile235
Maximum255
Range255
Interquartile range (IQR)134

Descriptive statistics

Standard deviation80.359742
Coefficient of variation (CV)0.57554377
Kurtosis-1.0717245
Mean139.62403
Median Absolute Deviation (MAD)56
Skewness-0.53976202
Sum8377442
Variance6457.6882
MonotonicityNot monotonic
2023-11-03T21:32:37.135064image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7313
 
12.2%
224 513
 
0.9%
223 504
 
0.8%
228 502
 
0.8%
217 495
 
0.8%
218 493
 
0.8%
219 488
 
0.8%
221 486
 
0.8%
220 482
 
0.8%
227 479
 
0.8%
Other values (246) 48245
80.4%
ValueCountFrequency (%)
0 7313
12.2%
1 200
 
0.3%
2 140
 
0.2%
3 131
 
0.2%
4 112
 
0.2%
5 104
 
0.2%
6 91
 
0.2%
7 57
 
0.1%
8 70
 
0.1%
9 66
 
0.1%
ValueCountFrequency (%)
255 328
0.5%
254 70
 
0.1%
253 61
 
0.1%
252 40
 
0.1%
251 56
 
0.1%
250 56
 
0.1%
249 72
 
0.1%
248 62
 
0.1%
247 82
 
0.1%
246 83
 
0.1%

pixel631
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.9052
Minimum0
Maximum255
Zeros16699
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:37.778117image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median135
Q3205
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)205

Descriptive statistics

Standard deviation91.747902
Coefficient of variation (CV)0.784806
Kurtosis-1.5969173
Mean116.9052
Median Absolute Deviation (MAD)84
Skewness-0.138029
Sum7014312
Variance8417.6776
MonotonicityNot monotonic
2023-11-03T21:32:41.699533image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16699
27.8%
222 453
 
0.8%
230 444
 
0.7%
219 444
 
0.7%
221 434
 
0.7%
224 430
 
0.7%
226 427
 
0.7%
232 422
 
0.7%
225 416
 
0.7%
228 415
 
0.7%
Other values (246) 39416
65.7%
ValueCountFrequency (%)
0 16699
27.8%
1 141
 
0.2%
2 122
 
0.2%
3 118
 
0.2%
4 103
 
0.2%
5 88
 
0.1%
6 71
 
0.1%
7 59
 
0.1%
8 52
 
0.1%
9 64
 
0.1%
ValueCountFrequency (%)
255 376
0.6%
254 77
 
0.1%
253 63
 
0.1%
252 48
 
0.1%
251 69
 
0.1%
250 87
 
0.1%
249 83
 
0.1%
248 81
 
0.1%
247 84
 
0.1%
246 102
 
0.2%

pixel401
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.78337
Minimum0
Maximum255
Zeros16459
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:42.087236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median107
Q3190
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)190

Descriptive statistics

Standard deviation89.683997
Coefficient of variation (CV)0.85589917
Kurtosis-1.5342886
Mean104.78337
Median Absolute Deviation (MAD)99
Skewness0.097404448
Sum6287002
Variance8043.2193
MonotonicityNot monotonic
2023-11-03T21:32:42.663355image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16459
27.4%
1 824
 
1.4%
255 735
 
1.2%
2 518
 
0.9%
3 354
 
0.6%
193 288
 
0.5%
217 288
 
0.5%
209 286
 
0.5%
219 286
 
0.5%
215 279
 
0.5%
Other values (246) 39683
66.1%
ValueCountFrequency (%)
0 16459
27.4%
1 824
 
1.4%
2 518
 
0.9%
3 354
 
0.6%
4 250
 
0.4%
5 173
 
0.3%
6 130
 
0.2%
7 112
 
0.2%
8 93
 
0.2%
9 91
 
0.2%
ValueCountFrequency (%)
255 735
1.2%
254 138
 
0.2%
253 120
 
0.2%
252 93
 
0.2%
251 96
 
0.2%
250 105
 
0.2%
249 119
 
0.2%
248 118
 
0.2%
247 141
 
0.2%
246 139
 
0.2%

pixel180
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.94378
Minimum0
Maximum255
Zeros18309
Zeros (%)30.5%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:43.536264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median108
Q3192
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)192

Descriptive statistics

Standard deviation90.160506
Coefficient of variation (CV)0.86739681
Kurtosis-1.603934
Mean103.94378
Median Absolute Deviation (MAD)103
Skewness0.063685346
Sum6236627
Variance8128.9168
MonotonicityNot monotonic
2023-11-03T21:32:44.366810image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18309
30.5%
1 713
 
1.2%
220 395
 
0.7%
223 393
 
0.7%
221 389
 
0.6%
2 389
 
0.6%
224 385
 
0.6%
216 366
 
0.6%
219 360
 
0.6%
222 354
 
0.6%
Other values (246) 37947
63.2%
ValueCountFrequency (%)
0 18309
30.5%
1 713
 
1.2%
2 389
 
0.6%
3 296
 
0.5%
4 205
 
0.3%
5 158
 
0.3%
6 124
 
0.2%
7 65
 
0.1%
8 62
 
0.1%
9 56
 
0.1%
ValueCountFrequency (%)
255 282
0.5%
254 47
 
0.1%
253 63
 
0.1%
252 36
 
0.1%
251 36
 
0.1%
250 40
 
0.1%
249 57
 
0.1%
248 54
 
0.1%
247 55
 
0.1%
246 71
 
0.1%

pixel234
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.719083
Minimum0
Maximum255
Zeros19023
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:45.165811image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median92
Q3185
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)185

Descriptive statistics

Standard deviation90.305781
Coefficient of variation (CV)0.93369145
Kurtosis-1.5609709
Mean96.719083
Median Absolute Deviation (MAD)92
Skewness0.20342218
Sum5803145
Variance8155.1341
MonotonicityNot monotonic
2023-11-03T21:32:45.936185image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19023
31.7%
1 1899
 
3.2%
2 768
 
1.3%
255 544
 
0.9%
3 376
 
0.6%
222 313
 
0.5%
220 305
 
0.5%
219 300
 
0.5%
217 299
 
0.5%
213 288
 
0.5%
Other values (246) 35885
59.8%
ValueCountFrequency (%)
0 19023
31.7%
1 1899
 
3.2%
2 768
 
1.3%
3 376
 
0.6%
4 232
 
0.4%
5 184
 
0.3%
6 129
 
0.2%
7 89
 
0.1%
8 85
 
0.1%
9 73
 
0.1%
ValueCountFrequency (%)
255 544
0.9%
254 96
 
0.2%
253 82
 
0.1%
252 48
 
0.1%
251 52
 
0.1%
250 47
 
0.1%
249 58
 
0.1%
248 54
 
0.1%
247 72
 
0.1%
246 77
 
0.1%

pixel236
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.75805
Minimum0
Maximum255
Zeros15551
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:46.450956image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median117
Q3194
95-th percentile231
Maximum255
Range255
Interquartile range (IQR)194

Descriptive statistics

Standard deviation89.378011
Coefficient of variation (CV)0.82943233
Kurtosis-1.5812016
Mean107.75805
Median Absolute Deviation (MAD)93
Skewness-0.0051912791
Sum6465483
Variance7988.4289
MonotonicityNot monotonic
2023-11-03T21:32:46.710365image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15551
 
25.9%
1 1416
 
2.4%
2 817
 
1.4%
3 496
 
0.8%
255 424
 
0.7%
219 369
 
0.6%
221 363
 
0.6%
223 354
 
0.6%
218 353
 
0.6%
224 353
 
0.6%
Other values (246) 39504
65.8%
ValueCountFrequency (%)
0 15551
25.9%
1 1416
 
2.4%
2 817
 
1.4%
3 496
 
0.8%
4 300
 
0.5%
5 194
 
0.3%
6 123
 
0.2%
7 77
 
0.1%
8 51
 
0.1%
9 49
 
0.1%
ValueCountFrequency (%)
255 424
0.7%
254 85
 
0.1%
253 62
 
0.1%
252 42
 
0.1%
251 40
 
0.1%
250 51
 
0.1%
249 56
 
0.1%
248 53
 
0.1%
247 61
 
0.1%
246 44
 
0.1%

pixel68
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.23198
Minimum0
Maximum255
Zeros22407
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:46.950845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median100
Q3197
95-th percentile234
Maximum255
Range255
Interquartile range (IQR)197

Descriptive statistics

Standard deviation94.518131
Coefficient of variation (CV)0.93367854
Kurtosis-1.672304
Mean101.23198
Median Absolute Deviation (MAD)100
Skewness0.13107688
Sum6073919
Variance8933.677
MonotonicityNot monotonic
2023-11-03T21:32:47.191859image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22407
37.3%
225 397
 
0.7%
217 387
 
0.6%
255 385
 
0.6%
216 384
 
0.6%
221 383
 
0.6%
223 370
 
0.6%
224 366
 
0.6%
222 366
 
0.6%
219 362
 
0.6%
Other values (246) 34193
57.0%
ValueCountFrequency (%)
0 22407
37.3%
1 314
 
0.5%
2 188
 
0.3%
3 153
 
0.3%
4 125
 
0.2%
5 120
 
0.2%
6 82
 
0.1%
7 67
 
0.1%
8 59
 
0.1%
9 66
 
0.1%
ValueCountFrequency (%)
255 385
0.6%
254 102
 
0.2%
253 66
 
0.1%
252 63
 
0.1%
251 77
 
0.1%
250 66
 
0.1%
249 81
 
0.1%
248 91
 
0.2%
247 92
 
0.2%
246 101
 
0.2%

pixel611
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.742067
Minimum0
Maximum255
Zeros26993
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:47.433220image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q3186
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)186

Descriptive statistics

Standard deviation95.446255
Coefficient of variation (CV)1.1397647
Kurtosis-1.4436487
Mean83.742067
Median Absolute Deviation (MAD)15
Skewness0.51500187
Sum5024524
Variance9109.9876
MonotonicityNot monotonic
2023-11-03T21:32:47.702070image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26993
45.0%
255 1104
 
1.8%
1 716
 
1.2%
2 593
 
1.0%
3 482
 
0.8%
4 300
 
0.5%
224 270
 
0.4%
221 269
 
0.4%
219 269
 
0.4%
223 266
 
0.4%
Other values (246) 28738
47.9%
ValueCountFrequency (%)
0 26993
45.0%
1 716
 
1.2%
2 593
 
1.0%
3 482
 
0.8%
4 300
 
0.5%
5 208
 
0.3%
6 122
 
0.2%
7 115
 
0.2%
8 83
 
0.1%
9 71
 
0.1%
ValueCountFrequency (%)
255 1104
1.8%
254 196
 
0.3%
253 125
 
0.2%
252 129
 
0.2%
251 101
 
0.2%
250 122
 
0.2%
249 102
 
0.2%
248 138
 
0.2%
247 150
 
0.2%
246 139
 
0.2%

pixel96
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.06008
Minimum0
Maximum255
Zeros21219
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:47.946768image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median103
Q3196
95-th percentile232
Maximum255
Range255
Interquartile range (IQR)196

Descriptive statistics

Standard deviation93.088285
Coefficient of variation (CV)0.91209297
Kurtosis-1.6644216
Mean102.06008
Median Absolute Deviation (MAD)103
Skewness0.10258105
Sum6123605
Variance8665.4288
MonotonicityNot monotonic
2023-11-03T21:32:48.199060image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21219
35.4%
224 435
 
0.7%
1 431
 
0.7%
225 423
 
0.7%
221 392
 
0.7%
222 390
 
0.7%
220 382
 
0.6%
226 380
 
0.6%
217 376
 
0.6%
218 367
 
0.6%
Other values (246) 35205
58.7%
ValueCountFrequency (%)
0 21219
35.4%
1 431
 
0.7%
2 254
 
0.4%
3 179
 
0.3%
4 138
 
0.2%
5 133
 
0.2%
6 84
 
0.1%
7 54
 
0.1%
8 54
 
0.1%
9 49
 
0.1%
ValueCountFrequency (%)
255 213
0.4%
254 59
 
0.1%
253 38
 
0.1%
252 34
 
0.1%
251 39
 
0.1%
250 42
 
0.1%
249 43
 
0.1%
248 54
 
0.1%
247 67
 
0.1%
246 73
 
0.1%

pixel555
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.606133
Minimum0
Maximum255
Zeros20487
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:48.431089image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median80
Q3195
95-th percentile241
Maximum255
Range255
Interquartile range (IQR)195

Descriptive statistics

Standard deviation94.801888
Coefficient of variation (CV)0.97126978
Kurtosis-1.5998881
Mean97.606133
Median Absolute Deviation (MAD)80
Skewness0.25471593
Sum5856368
Variance8987.398
MonotonicityNot monotonic
2023-11-03T21:32:48.681525image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20487
34.1%
255 1074
 
1.8%
1 852
 
1.4%
2 626
 
1.0%
3 547
 
0.9%
4 343
 
0.6%
215 319
 
0.5%
216 307
 
0.5%
220 305
 
0.5%
226 304
 
0.5%
Other values (246) 34836
58.1%
ValueCountFrequency (%)
0 20487
34.1%
1 852
 
1.4%
2 626
 
1.0%
3 547
 
0.9%
4 343
 
0.6%
5 224
 
0.4%
6 146
 
0.2%
7 113
 
0.2%
8 78
 
0.1%
9 92
 
0.2%
ValueCountFrequency (%)
255 1074
1.8%
254 191
 
0.3%
253 129
 
0.2%
252 117
 
0.2%
251 113
 
0.2%
250 130
 
0.2%
249 121
 
0.2%
248 116
 
0.2%
247 157
 
0.3%
246 138
 
0.2%

pixel594
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.624433
Minimum0
Maximum255
Zeros27381
Zeros (%)45.6%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:48.919549image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q3172
95-th percentile236
Maximum255
Range255
Interquartile range (IQR)172

Descriptive statistics

Standard deviation92.236254
Coefficient of variation (CV)1.1882374
Kurtosis-1.2842409
Mean77.624433
Median Absolute Deviation (MAD)4
Skewness0.62477441
Sum4657466
Variance8507.5265
MonotonicityNot monotonic
2023-11-03T21:32:49.167500image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27381
45.6%
1 931
 
1.6%
255 816
 
1.4%
2 763
 
1.3%
3 556
 
0.9%
4 402
 
0.7%
196 240
 
0.4%
226 239
 
0.4%
206 235
 
0.4%
222 228
 
0.4%
Other values (246) 28209
47.0%
ValueCountFrequency (%)
0 27381
45.6%
1 931
 
1.6%
2 763
 
1.3%
3 556
 
0.9%
4 402
 
0.7%
5 224
 
0.4%
6 128
 
0.2%
7 107
 
0.2%
8 82
 
0.1%
9 55
 
0.1%
ValueCountFrequency (%)
255 816
1.4%
254 145
 
0.2%
253 99
 
0.2%
252 103
 
0.2%
251 76
 
0.1%
250 96
 
0.2%
249 112
 
0.2%
248 114
 
0.2%
247 97
 
0.2%
246 110
 
0.2%

pixel427
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct256
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.974483
Minimum0
Maximum255
Zeros23921
Zeros (%)39.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-11-03T21:32:49.399477image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median53
Q3183
95-th percentile238
Maximum255
Range255
Interquartile range (IQR)183

Descriptive statistics

Standard deviation93.225184
Coefficient of variation (CV)1.0596844
Kurtosis-1.4941431
Mean87.974483
Median Absolute Deviation (MAD)53
Skewness0.40475914
Sum5278469
Variance8690.935
MonotonicityNot monotonic
2023-11-03T21:32:49.653690image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23921
39.9%
1 1100
 
1.8%
255 943
 
1.6%
2 762
 
1.3%
3 510
 
0.9%
4 306
 
0.5%
213 266
 
0.4%
214 260
 
0.4%
205 260
 
0.4%
216 253
 
0.4%
Other values (246) 31419
52.4%
ValueCountFrequency (%)
0 23921
39.9%
1 1100
 
1.8%
2 762
 
1.3%
3 510
 
0.9%
4 306
 
0.5%
5 201
 
0.3%
6 122
 
0.2%
7 104
 
0.2%
8 74
 
0.1%
9 63
 
0.1%
ValueCountFrequency (%)
255 943
1.6%
254 156
 
0.3%
253 97
 
0.2%
252 103
 
0.2%
251 87
 
0.1%
250 84
 
0.1%
249 89
 
0.1%
248 110
 
0.2%
247 103
 
0.2%
246 111
 
0.2%

Interactions

2023-11-03T21:32:25.478992image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:30:48.467187image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:30:52.619445image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:30:56.755098image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:02.047256image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:07.103922image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:14.273043image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:18.795860image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2023-11-03T21:31:28.250633image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:32.416523image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:36.587634image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:41.944078image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:46.670208image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:52.165726image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:57.036409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:32:01.183850image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:32:06.428182image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:32:11.337606image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:32:15.516265image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:32:20.902720image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:32:25.096411image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:32:29.448913image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:30:52.428306image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:30:56.558301image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:01.851078image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:06.906113image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:14.065387image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:18.589287image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:22.804511image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:28.439303image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:32.609337image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:36.803658image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:42.152555image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:46.870275image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:52.960132image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:31:57.235728image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:32:01.375784image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:32:06.632438image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:32:11.534343image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:32:15.726787image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:32:21.103054image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-11-03T21:32:25.289902image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2023-11-03T21:32:49.890097image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
labelpixel547pixel603pixel491pixel575pixel263pixel407pixel435pixel687pixel519pixel631pixel401pixel180pixel234pixel236pixel68pixel611pixel96pixel555pixel594pixel427
label1.0000.1720.0570.2180.126-0.4940.1880.204-0.2140.195-0.038-0.032-0.559-0.459-0.517-0.6220.333-0.6220.4520.3090.192
pixel5470.1721.0000.7650.7430.8500.2350.6970.7090.5240.8420.6970.2530.2680.2530.3090.1790.4030.2070.4270.3860.194
pixel6030.0570.7651.0000.6340.8650.3310.6000.6040.6680.7150.8630.2130.3950.3410.4040.2990.4720.3290.2980.4640.119
pixel4910.2180.7430.6341.0000.7090.1630.7680.7720.4200.8210.5650.3180.1880.1770.2270.1050.3020.1300.3430.2750.277
pixel5750.1260.8500.8650.7091.0000.2880.6540.6610.5920.7640.7620.2290.3320.3030.3620.2380.4500.2670.3710.4390.154
pixel263-0.4940.2350.3310.1630.2881.0000.2030.1830.4140.1990.3670.3280.8060.7770.8260.7080.0990.739-0.0330.0970.175
pixel4070.1880.6970.6000.7680.6540.2031.0000.8620.4110.7240.5410.3310.2290.2110.2700.1420.2760.1680.3110.2530.274
pixel4350.2040.7090.6040.7720.6610.1830.8621.0000.4100.7430.5430.3230.2110.1920.2490.1250.2790.1520.3170.2550.284
pixel687-0.2140.5240.6680.4200.5920.4140.4110.4101.0000.4740.7550.2630.4990.4030.4790.4900.1860.5180.0340.1510.067
pixel5190.1950.8420.7150.8210.7640.1990.7240.7430.4741.0000.6340.2750.2290.2140.2680.1410.3670.1680.3760.3410.229
pixel631-0.0380.6970.8630.5650.7620.3670.5410.5430.7550.6341.0000.2230.4470.3700.4390.3740.3870.4070.2220.3740.101
pixel401-0.0320.2530.2130.3180.2290.3280.3310.3230.2630.2750.2231.0000.2470.4580.2720.2060.1890.2090.2410.1860.538
pixel180-0.5590.2680.3950.1880.3320.8060.2290.2110.4990.2290.4470.2471.0000.7100.8820.7860.0580.833-0.1060.0450.072
pixel234-0.4590.2530.3410.1770.3030.7770.2110.1920.4030.2140.3700.4580.7101.0000.7300.6700.1780.6810.0540.1740.246
pixel236-0.5170.3090.4040.2270.3620.8260.2700.2490.4790.2680.4390.2720.8820.7301.0000.7410.0570.778-0.0840.0510.100
pixel68-0.6220.1790.2990.1050.2380.7080.1420.1250.4900.1410.3740.2060.7860.6700.7411.0000.0130.911-0.144-0.0030.033
pixel6110.3330.4030.4720.3020.4500.0990.2760.2790.1860.3670.3870.1890.0580.1780.0570.0131.0000.0220.8180.8500.469
pixel96-0.6220.2070.3290.1300.2670.7390.1680.1520.5180.1680.4070.2090.8330.6810.7780.9110.0221.000-0.1380.0060.037
pixel5550.4520.4270.2980.3430.371-0.0330.3110.3170.0340.3760.2220.241-0.1060.054-0.084-0.1440.818-0.1381.0000.7240.576
pixel5940.3090.3860.4640.2750.4390.0970.2530.2550.1510.3410.3740.1860.0450.1740.051-0.0030.8500.0060.7241.0000.467
pixel4270.1920.1940.1190.2770.1540.1750.2740.2840.0670.2290.1010.5380.0720.2460.1000.0330.4690.0370.5760.4671.000

Missing values

2023-11-03T21:32:29.864478image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-11-03T21:32:30.767048image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

labelpixel547pixel603pixel491pixel575pixel263pixel407pixel435pixel687pixel519pixel631pixel401pixel180pixel234pixel236pixel68pixel611pixel96pixel555pixel594pixel427
0220621121620520323319717720820222121721220600610129209
191632021801770111185013400101018801782090
26194195212197201214220186206204205200201180187211198214249223
3019917722720481192134233210112187162129179660124010
4321921921921921821921922021921914922134237920224009
54149155160154130154157189160155255132140158168210144218193190
642252282212262252232192282222282382102332252512152502150130
75009200200001300000000088
84209211207212207207210229210212204207210208210177184154183208
98176224183212012113622019422119250014510000221
labelpixel547pixel603pixel491pixel575pixel263pixel407pixel435pixel687pixel519pixel631pixel401pixel180pixel234pixel236pixel68pixel611pixel96pixel555pixel594pixel427
5999002262242202232142112212242222232102152142212320221000
59991523415023621002322302239002464018801972540
5999250760900110166010009051160
599932186189187192184187182210184193186194183192230193189192186200
599949227233226230023322224522723200000189024200
5999592122081802082246206882082220000020302191910
5999610000144000000577179106089000
5999782192192042143619119421921921920371019801360128154176
59998821520925221615322021119919521401761900221176221168153
59999724802211640207215021702320200002540224

Duplicate rows

Most frequently occurring

labelpixel547pixel603pixel491pixel575pixel263pixel407pixel435pixel687pixel519pixel631pixel401pixel180pixel234pixel236pixel68pixel611pixel96pixel555pixel594pixel427# duplicates
00698071716774718671804571537115402010022
10117115118117961051081241181116396621241940600002
20202201199202201197197209199206020720619721902180002
310000590000001010127960920002
41152182179165239206196191165183021916923119001970002
511541591251581611441441741331680126987413801650002
611711891421821941401372051561970195019917901980002
72535558574555578260621206860415280726885732
8275112994288734879779081886468149731589270972
928110611012030961115610593651015665915514558128902